The DreamCloud Project

The main objective addressed by DreamCloud is to enable dynamic resource allocation in many-core embedded and high performance systems while providing appropriate guarantees on performance and energy efficiency.

Provide complex embedded systems with cloud-like capabilities such as those available in today’s high-performance computing, allowing them to dynamically tune resource usage but without sacrificing critical application-specific constraints in performance and energy.

Enable HPC and cloud computing systems to balance workload and manage resources so that they can offer more meaningful guarantees in terms of performance and energy, focussing not only on improving average behaviour but also on reducing variability and upper bounds of timing and energy metrics.

The DreamCloud team from the University of York had an article accepted in the top journal for surveys in Computer Science, ACM Computing Surveys:
A Survey and Comparative Study of Hard and Soft Real-time DynamicResource Allocation Strategies for Multi/Many-core SystemsA. K. Singh, P. Dziurzanski, H. R. Mendis, L. S. Indrusiak
A pre-print is available in the White Rose repository for anyone to access:
http://eprints.whiterose.ac.uk/112430/

A textbook on the DreamCloud dynamic resource allocation heuristics will soon be published by River Publishers. Hardcopies will be available for purchase, and an ebook version will be made freely available here in the DreamCloud website. This arrangement was made possible thanks to the FP7 Post-Grant Open Access Pilot Scheme. The textbook will have the following chapters:
Preface; 1. Introduction; 2. Load and Resource Models; 3. Feedback-based Admission Control Heuristics; 4. Feedback-based…

The paper entitled "Synthetic Workload Generation of Broadcast related HEVC Stream Decoding for Resource Constrained Systems" has won the SIGMAP 2016 Best Student Paper Award. The paper is authored by Hasham Roshanta Mendis and Leandro Soares Indrusiak, from the University of York, and supported by the collaborations with DreamCloud partner Rheon Media. It describes an approach to generate multi-stream video workload models, which in turn were used to evaluate and fine-tune some of the dynamic…

DreamCloud Team Members

DreamCloudis a Specific Targeted Research Project (STREP) of the Seventh Framework Programme for research and technological development (FP7) - the European Union's chief instrument for funding research projects that commence over the period 2007 to 2013.